Cognitive deficits are now widely recognized to be an important component of anxiety. In particular, anxiety is thought to restrict the capacity of working memory by competing with task-relevant processes. The evidence for this claim, however, has been mixed. Although some studies have found restricted working memory in anxiety, others have not. Within studies that have found impairments, there is little agreement regarding the boundary conditions of the anxiety/WMC association. The aim of this review is to critically evaluate the evidence for anxiety-related deficits in working memory capacity. First, a meta-analysis of 177 samples (N = 22,061 individuals) demonstrated that self-reported measures of anxiety are reliably related to poorer performance on measures of working memory capacity (g = -.334, p < 10-29). This finding was consistent across complex span (e.g., OSPAN; g = -.342, k = 30, N = 3,196, p = .000001), simple span (e.g., digit span; g = -.318, k = 127, N = 17,547, p < 10-17), and dynamic span tasks (e.g., N-Back; g = -.437, k = 20, N = 1,318, p = .000003). Second, a narrative review of the literature revealed that anxiety, whether self-reported or experimentally induced, is related to poorer performance across a wide variety of tasks. Finally, the review identified a number of methodological limitations common in the literature as well as avenues for future research. (PsycINFO Database Record

Working memory is the structure devoted to the maintenance of information at short term during concurrent processing activities. In this respect, the question regarding the nature of the mechanisms and systems fulfilling this maintenance function is of particular importance and has received various responses in the recent past. In the time-based resource-sharing (TBRS) model, we suggest that only two systems sustain the maintenance of information at the short term, counteracting the deleterious effect of temporal decay and interference. A non-attentional mechanism of verbal rehearsal, similar to the one described by Baddeley in the phonological loop model, uses language processes to reactivate phonological memory traces. Besides this domain-specific mechanism, an executive loop allows the reconstruction of memory traces through an attention-based mechanism of refreshing. The present paper reviews evidence of the involvement of these two independent systems in the maintenance of verbal memory items.

Understanding the physiological correlates of cognitive overload has implications for gauging the limits of human cognition, for developing novel methods to define cognitive overload, and for mitigating the negative outcomes associated with overload. Most previous psychophysiological studies manipulated verbal working memory load in a narrow range (an average load of 5 items). It is unclear, however, how the nervous system responds to working memory load exceeding typical capacity limits. The objective of the current study was to characterize the central and autonomic nervous system changes associated with memory overload, by means of combined recording of EEG and pupillometry. Eighty-six participants were presented with a digit span task involving the serial auditory presentation of items. Each trial consisted of sequences of either 5, 9, or 13 digits, each separated by 2 seconds. Both theta activity and pupil size, after the initial rise, expressed a pattern of a short plateau and a decrease with reaching the state of memory overload, indicating that pupil size and theta possibly have similar neural mechanisms. Based on the described above triphasic pattern of pupil size temporal dynamics, we concluded that cognitive overload causes physiological systems to reset, and to release effort. Although memory capacity limits were exceeded and effort was released (as indicated by pupil dilation), alpha continued to decrease with increasing memory load. These results suggest that associating alpha with the focus of attention and distractor suppression is not warranted.

How and why is working memory (WM) capacity limited? Traditional cognitive accounts focus either on limitations on the number or items that can be stored (slots models), or loss of precision with increasing load (resource models). Here we show that a neural network model of prefrontal cortex and basal ganglia can learn to reuse the same prefrontal populations to store multiple items, leading to resource-like constraints within a slot-like system, and inducing a trade-off between quantity and precision of information. Such “chunking” strategies are adapted as a function of reinforcement learning and WM task demands, mimicking human performance and normative models. Moreover, adaptive performance requires a dynamic range of dopaminergic signals to adjust striatal gating policies, providing a new interpretation of WM difficulties in patient populations such as Parkinson’s disease, ADHD and schizophrenia. These simulations also suggest a computational rather than anatomical limit to WM capacity.

The ability to encode, store, and retrieve visually presented objects is referred to as visual working memory (VWM). Although crucial for many cognitive processes, previous research reveals that VWM strictly capacity limited. This capacity limitation is behaviorally observable in the set size effect: the ability to successfully report items in VWM asymptotes at a small number of items. Research into the neural correlates of set size effects and VWM capacity limits in general largely focus on the maintenance period of VWM. However, we previously reported that neural resources allocated to individual items during VWM encoding correspond to successful VWM performance. Here we expand on those findings by investigating neural correlates of set size during VWM encoding. We hypothesized that neural signatures of encoding-related VWM capacity limitations should be differentiable as a function of set size. We tested our hypothesis using High Density Electroencephalography (HD-EEG) to analyze frequency components evoked by flickering target items in VWM displays of set size 2 or 4. We found that set size modulated the amplitude of the 1st and 2nd harmonic frequencies evoked during successful VWM encoding across frontal and occipital-parietal electrodes. Frontal sites exhibited the most robust effects for the 2nd harmonic (set size 2 > set size 4). Additionally, we found a set-size effect on the induced power of delta-band (1–4 Hz) activity (set size 2 > set size 4). These results are consistent with a capacity limited VWM resource at encoding that is distributed across to-be-remembered items in a VWM display. This resource may work in conjunction with a task-specific selection process that determines which items are to be encoded and which are to be ignored. These neural set size effects support the view that VWM capacity limitations begin with encoding related processes.

Psychiatric disorders are typically classified using categorical diagnostic systems based on symptom clusters. However, these frameworks often fail to capture the cognitive and neurobiological mechanisms that transcend diagnostic boundaries and influence everyday functioning. Executive dysfunction, encompassing impairments in inhibitory control, working memory, cognitive flexibility, planning, and emotion regulation, was historically linked to focal damage in prefrontal brain regions. Converging evidence from neuropsychology, cognitive neuroscience, genetics, and clinical research indicates that executive dysfunction is prevalent across multiple psychiatric conditions and closely linked to functional impairment. This theory-driven article proposes that executive dysfunction represents a transdiagnostic dimension of psychopathology reflecting a shared neurocognitive vulnerability. Disruptions in both "cool" executive processes (e.g., cognitive control and working memory) and "hot" executive processes (e.g., emotion regulation and motivational control) may constitute a common pathway through which diverse psychiatric disorders impair adaptive functioning. Executive dysfunction is further conceptualized as an intermediate phenotype linking genetic liability, distributed neural circuit disruption, and everyday behavioral regulation. This perspective supports a shift toward transdiagnostic, mechanism-based mental health interventions that prioritize executive functioning as a central target for improving real-world functioning and long-term recovery.

This work presents the consolidated evolutionary version of Metabolic Adaptive Dynamics (MAD), a physiologically operationalized framework for modeling human adaptive regulation under cognitive load. The core model defines adaptive capacity as the measurable rate of autonomic recovery (RR) following cognitive perturbation, operationalized through: Cognitive Load (P), measured via task complexity and NASA-TLX Working Memory Capacity (V), measured via Operation Span Autonomic Recovery (RR), measured through HRV (RMSSD) and GSR The initial proportional formulation (RR ∝ V/P) is extended in this version by introducing: Nonlinear overload dynamics (quadratic and threshold modeling under P > V) Collapse criteria (including stress inertia defined as RR < 0) Motivational moderation (M) as a subjective task-meaning variable Recovery Debt (RD) as a cumulative feedback mechanism MAD v1.2 is presented as a falsifiable research program and preregistered empirical proposal. The document specifies operational definitions, statistical models, and threshold criteria for laboratory validation. No ontological claims are made; the framework remains strictly operational and testable.

This paper identifies and models the "Cognitive Stall"—a phenomenon where organic neural architectures fail to resolve high-dimensional data conflicts due to hardware-specific constraints. Utilizing the "vanishing agent" experiment in canines as a baseline ethological model, this paper extrapolates these fundamental neurological bottlenecks to human decision-making in high-complexity environments. The analysis argues that as information complexity surpasses the strictly finite processing threshold of carbon-based neural structures, organic entities inevitably default to suboptimal, low-resolution heuristics to force decision-making under temporal pressure. This constraint is not a psychological artifact but a deterministic limitation rooted in the thermodynamics, metabolic ceilings, and signal latencies of biological wetware. By analyzing the working memory limits of the prefrontal cortex, the energetic costs of neural computation, and the evolutionary lag defined by the burden of knowledge, it becomes evident that the carbon substrate has reached its maximum viable scaling capacity. Consequently, the analysis posits that the only viable evolutionary path to manage planetary-scale complexity is a transition to a synthetic substrate capable of multi-dimensional parallel processing and near-light-speed signal propagation.

<h4>Objectives</h4>Ball sports interventions have been shown to yield positive effects on executive functions (EF). The aim of this study is to use network meta-analysis (NMA) to evaluate the differences in the impact of different ball sports on the subdomains of EF among children and adolescents.<h4>Methods</h4>Five databases, including PubMed, Cochrane, Embase, Web of Science, and Scopus, were searched up to November 2025 to identify randomized controlled trials measuring the effect of different ball sports on the subdomains of EF among children and adolescents. Paired analyses and network meta-analyses were conducted using the random-effects model.<h4>Results</h4>This study included 12 studies with five ball sports interventions. Ball sports showed domain-specific effects on EF in children and adolescents. The surface under the cumulative ranking curve (SUCRA) reveals that football may be a potentially effective intervention for improving the accuracy rate of inhibitory control (SUCRA = 76.69%). For working memory, ball sports did not consistently enhance accuracy, with the control condition showing the highest ranking (SUCRA = 80.93%). In contrast, tennis exhibited the greatest likelihood of improving reaction time (SUCRA = 99.99%). Table tennis may be a potentially effective intervention for improving reaction time of cognitive flexibility (SUCRA = 99.97%). Sensitivity analyses restricted to typically developing samples revealed notable changes in network structures and SUCRA rankings for inhibitory control accuracy, inhibitory control reaction time, and cognitive flexibility accuracy.<h4>Conclusion</h4>Different ball sports demonstrated varying effects across executive function subdomains. However, the findings for inhibitory control and cognitive flexibility were highly dependent on sample composition and lacked robustness, whereas those for working memory were relatively stable. Due to limited evidence and high heterogeneity, the results should be interpreted with caution.<h4>Systematic review registration</h4>https://www.crd.york.ac.uk/PROSPERO/view/CRD420251038836.

Learning is a multidimensional process resulting from the interaction between cognitive and emotional factors within the learning context; in this respect the quality of the student-teacher relationship plays a significant role. Although the literature suggests that cognitive processes and emotions experienced during learning and task performing play a central role in academic achievement, it remains unclear how these factors interact with socio-affective factors in explaining academic performance, particularly in second language (L2) learning from primary school. This systematic review and meta-analysis focused on the studies that jointly or individually investigated the role of emotional factors (achievement emotions), socio-affective factors (student-teacher relationship) and cognitive factors (working memory) in L2 learning during primary school. Our sample contained 19 primary studies with 5,340 participants involved in at least one of the factors of our interest. 16 out of 19 studies were included in the meta-analysis. Our results showed a positive correlation between working memory and L2 learning, differentiated effects of achievement emotions, with a significant negative association with anxiety, and a small but positive association with enjoyment. The student-teacher relationship was supported only by qualitative evidence, however, showing a protective effect of emotional closeness to the teacher in the learning process in the presence of negative emotions such as anxiety. Findings support the importance of integrating cognitive, emotional, and relational factors to understand L2 learning in primary school. Further empirical research focusing on positive emotions and relational dynamics in different educational contexts is needed.

task- irrelevant information is working memory. The working memory system was described by Baddeley … J. (1979) Developing the concept of working memory. In: G. CLAXTON (Ed.) New Directions … have evolved to expand the simplest memory capacity, which I will call event memory. In

sensory memory and short-term memory generally has a strictly limited capacity and duration. This means that information is not retained indefinitely. By Memory is the faculty of the mind by which data or information is encoded, stored, and retrieved when needed. It is the retention of information over time for the purpose of influencing future action. If past events could not be remembered, it would be impossible for language, relationships, or personal identity to develop. Memory loss is usually described as forgetfulness or a disorder such as am S… The storage in sensory memory and short-term memory generally has a strictly limited capacity and duration. This means that information is not retained indefinitely. By contrast, while the total capacity of long-term memory has yet to be established, it can store much larger quantities of information. Furthermore, it can store this information for a much longer duration, potentially for a whole life span. For example, given a random seven-digit number, one may remember it for only a few seconds before forgetting, suggesting it was stored in short-term memory. On the other hand, one can remember telephone numbers for many years through repetition; this information is said to be stored in long-term memory. While short-term memory encodes information acoustically, long-term memory encodes it semantically: Baddeley (1966) discovered that, after 20 minutes, test subjects had the most difficulty recalling a collection of words that had similar meanings (e.g. big, large, great, huge) long-term. Another part of long-term memory is episodic memory, "which attempts to capture information such as 'what', 'when' and 'where'". With episodic memory, individuals are able to recall specific events such as birthday parties and weddings. Short-term memory is supported by transient patterns of neuronal communication, dependent on regions of the frontal lobe (especially dorsolateral prefrontal cortex) and the parietal lobe. Long-term memory, on the other hand, is maintained by more stable and permanent changes in neural connections widely spread throughout the brain. The hippocampus is essential (for learning new information) to the consolidation of information from short-term to long-term memory, although it does not seem to store information itself. It was thought that without the hippocampus new memories were unable to be stored into long-term memory and that there would be a very short attention span, as first gleaned from patient Henry Molaison after what was thought to be the full removal of both his hippocampi. More recent examination of his brain, post-mortem, shows that the hippocampus was more intact than first thought, throwing theories drawn from the initial data into…